scholarly journals Factors Affecting Teaching English as a Second Language (TESL) Postgraduate Students’ Behavioural Intention for Online Learning during the COVID-19 Pandemic

2021 ◽  
Vol 13 (6) ◽  
pp. 3524
Author(s):  
Melor Md Yunus ◽  
Wee Shin Ang ◽  
Harwati Hashim

Online learning has become essential in education as the spread of coronavirus 19 (COVID-19) pandemic has brought significant changes to the field. However, education should remain welcoming and supportive to all the learners as it is important to keep the students’ behavioural intention in any form of learning environment. Thus, this study is significant as online learning is leading the trend of education now. Past studies revealed that the factors of performance expectancy, effort expectancy, social influence, and facilitating conditions under the unified theory of acceptance and use of technology (UTAUT) model affect learners’ behavioural intention to use online learning. This study intended to identify the most significant factors that influence TESL postgraduate students’ behavioural intention towards the use of online learning during the COVID-19 pandemic. It also examined the relationship amongst the four factors and postgraduate students’ behavioural intention to use online learning. The participants consisted of 169 postgraduate students at a public university in Malaysia. To achieve the aim, the study utilized a survey design using a questionnaire. The results from regression analysis revealed that all of the factors have positive effects on postgraduate students’ behavioural intention to use online learning. Meanwhile, performance expectancy has the greatest influence on postgraduate students’ behavioural intention. Hence, this study concludes that the practicality and the usefulness of online learning should be highlighted by the authorities.

Author(s):  
Mohammed A. Sabri Alrawi ◽  
Ganthan Narayana Samy ◽  
Rasimah Che Mohd Yusoff ◽  
Bharanidharan Shanmugam ◽  
Rajasekaran Lakshmiganthan ◽  
...  

<p>This <span>study presents an amended unified theory of acceptance and use of technology (UTAUT) which explores key factors affecting Malaysian consumers ' willingness to accept mobile-commerce. A questionnaire survey has been used to collect information from 400 Malaysian smartphone users using a random stratified sample and analyzed using structural equation modelling (SEM); with the use of Smart PLS 3.0. Results show that acceptance and use of mobile-commerce services can also be predicted by the behavioural intentions of users, whose performance expectancy, efforts expectations, social effects, mobility, personal innovations and perceived trust are significantly affected. From these variables, perceived trust is the most significant determinant that directly affects behavioural intention to use mobile-commerce services in Malaysia. It is then followed by mobility, personal innovation, social influence, performance expectancy then effect expectancy. Facilitating Conditions and moderating variables such as gender, age, education, income, marital status, experience and payment have no significant effect on Behavioral Intention to use mobile-commerce services in Malaysia. In conclusion, this study shows that behavioural intention and the use of mobile commerce services in Malaysia have a direct effect. The study will help dealers to avoid spending thousands of dollars on investments that have little impact on whether the customer is embracing and using mobile-commerce. The study also provides quantified indicators and offers a framework for the understanding of the Malaysia mobile-commerce system. The report concludes with a study of the effects of the research findings and provides recommendations for future research.</span></p>


Author(s):  
Bamidele Olawale

Abstract The purpose of this study was to validate the Unified Theory of Acceptance and Use of Technology (UTAUT) model on the acceptance of on-line databases among postgraduate students in Nigeria. the study investigated the four based constructs of UTAUT that is performance expectancy (PE), effort expectancy(EE), social influence (SI) and facilitating conditions (FCs) as the determinants of behavioural intention to use and eventual usage of on-line databases. The study adopted a descriptive survey research design. The population was made up of postgraduate students from Ekiti State University, Ado-Ekiti, and Federal University of Technology, Akure; Nigeria. Data were collected using questionnaire designed to elicit response from respondents and analysed using descriptive statistics method of frequency counts and percentages. However, out of two hundred and twenty five (225) copies of questionnaire administered to the respondents one hundred and eighty six (186) were returned which represents 82.7% response rate for the study. Findings revealed that all four variables i.e. (PE), (EE), (SI) and (FCs) had positive and significant effect on users' behavioural intention to use on-line databases. It was recommended that infrastructure such as computers and high-speed and affordable internet required are provided for easy access in Nigerian universities among other recommendations.


2016 ◽  
Vol 12 (4) ◽  
pp. 23-37 ◽  
Author(s):  
Nuno Fortes ◽  
António Carrizo Moreira ◽  
João Saraiva

Online gambling has skyrocketed in recent years. As such, knowing the determinants of consumer usage behavior is crucial in understanding online gambling services. This study has as main objective the construction of an explanatory model of the online gambling services usage behavior, based on the incorporation of perceived risk in the conceptual framework of the Unified Theory of Acceptance and Use of Technology 2 (UTAUT2). The empirical validation of the model was performed by conducting an online survey to a convenience sample of 212 Portuguese online players. Data were processed using the PLS-SEM methodology. The results evidence that performance expectancy, social influence, facilitating conditions, hedonic motivations, price value, habits, as well as perceived risk influence the intention to use online gambling services.


2013 ◽  
Vol 03 (02) ◽  
pp. 14-23
Author(s):  
Faruq Muhammad Abubakar ◽  
Hartini B. Ahmad

The volume and value of cash-based transactions in Nigeria is high and expected to rise. This is liked to non-adoption of new e-payment process introduced by the Central Bank. The adoption of Point of Sale (POS) terminal is reported to be very low. A number of researchers have used several technology adoption theories to answer a similar phenomenon, but their studies were fragmented. Thus the Unified Theory of acceptance and Use of Technology (UTAUT) combined eight among those numerous theories and models of technology adoption, toward a unified view. However, several studies that used UTAUT and investigate behavioural intention to use technology yielded conflicting findings. Therefore this paper, based on review of past literature, conceptualised that ‘technology awareness’ moderates the relationship between performance expectancy, effort expectancy, social influence, facilitating conditions and behavioural intention to use POS.


2016 ◽  
Vol 11 (2) ◽  
pp. 299 ◽  
Author(s):  
Ra'ed (Moh'd Taisir) Masa'deh ◽  
Ali Tarhini ◽  
Ashraf Bany Mohammed ◽  
Mahmoud Maqableh

<p>This study seeks to explore the factors that influence students’ usage behaviour of e-learning systems. Based on the strong theoretical foundation of the TAM, UTAM and using structural equation modeling (SEM) via AMOS 20.0, this research paper examines the impact of performance expectancy, effort expectancy, hedonic motivation, habit, social influence, and trust on student’s behavioural intention, which is later examined along with facilitating conditions on student’s usage behaviour of e-learning systems. Data was collected from students at two universities in Beirut (capital of Lebanon) using a cross-sectional questionnaire survey between January and March 2015. The results revealed direct positive effect of performance expectancy, hedonic motivation, habit, and trust on student’s behavioural intention to use e-learning explaining around 71% of overall behavioural intention. Meanwhile, behavioural intention and facilitating conditions accounted for 40% with strong positive effects on student’s usage behviour of e-learning systems. However, both effort expectancy and social influence did not impact student’s behavioural intention.</p>


Author(s):  
Suci Indah Kemala Dewi ◽  
Denny Kurniadi ◽  
Titi Sriwahyuni

Padang state university is one of the universities that provide the academicians with information system in order to make them easier when looking for information that they need. One of the information systems is online learning evaluation system. The aim of this research is examining some factors that impacting the acceptance and the usage of online learning evaluation system interest by using Venkatesh's model (2003) that is Unified Theory of Acceptance and Use of Technology (UTAUT). Variables that used are: performance expectancy, effort expectancy, social influence, facilitating condition and hedonic motivation. The result of the data analysis shows that the variables of performance expectancy, effort expectancy, social influence, facilitating conditions and hedonic motivation together have a significant effect of 67% on the interest of acceptance and use of Online Learning Evaluation Information System at State University of Padang. So it can be concluded that the factors of performance expectancy, effort expectancy, social influence, facilitating conditions and hedonic motivation have contributed to the interest of acceptance and use of the system. If each variable has a higher correlation it will increase the acceptance of Information Systems Online Learning Evaluation at State University of Padang.Keywords: Unified Theory Of Acceptance And Use Of Technology (UTAUT), performance Expectancy, Effort Ecpectancy, Social Influence, Facilitating Conditions, Hedonic Motivation, Online Learning Evaluation


2021 ◽  
Vol 14 (12) ◽  
pp. 31
Author(s):  
Abdullah Masmali ◽  
Fahhad Alghamdi

The use of online teaching has increased rapidly, especially since the start of the global pandemic of COVID-19. K&ndash;12 teachers in Saudi Arabia, like many teachers globally, found themselves with a new way of teaching because of the pandemic. Thus, this study examined the unified theory of acceptance and use of technology (UTAUT) in elementary school teachers&rsquo; acceptance of online learning. We tested whether UTAUT&rsquo;s four key factors (performance expectancy; effort expectancy; social influence; and facilitating conditions) affect Saudi Arabian elementary school teachers&rsquo; acceptance of using online learning. We found that performance expectancy, social influence, and facilitating conditions altogether predicted teachers&rsquo; use of online learning as the analysis of the multiple regression outcome found that 60.2% of the variation was affected by these variables.


10.2196/15023 ◽  
2019 ◽  
Vol 21 (8) ◽  
pp. e15023 ◽  
Author(s):  
Yiyu Zhang ◽  
Chaoyuan Liu ◽  
Shuoming Luo ◽  
Yuting Xie ◽  
Fang Liu ◽  
...  

Background Diabetes poses heavy social and economic burdens worldwide. Diabetes management apps show great potential for diabetes self-management. However, the adoption of diabetes management apps by diabetes patients is poor. The factors influencing patients’ intention to use these apps are unclear. Understanding the patients’ behavioral intention is necessary to support the development and promotion of diabetes app use. Objective This study aimed to identify the determinants of patients’ intention to use diabetes management apps based on an integrated theoretical model. Methods The hypotheses of our research model were developed based on an extended Unified Theory of Acceptance and Use of Technology (UTAUT). From April 20 to May 20, 2019, adult patients with diabetes across China, who were familiar with diabetes management apps, were surveyed using the Web-based survey tool Sojump. Structural equation modeling was used to analyze the data. Results A total of 746 participants who met the inclusion criteria completed the survey. The fitness indices suggested that the collected data fit well with the research model. The model explained 62.6% of the variance in performance expectancy and 57.1% of the variance in behavioral intention. Performance expectancy and social influence had the strongest total effects on behavioral intention (β=0.482; P=.001). Performance expectancy (β=0.482; P=.001), social influence (β=0.223; P=.003), facilitating conditions (β=0.17; P=.006), perceived disease threat (β=0.073; P=.005), and perceived privacy risk (β=–0.073; P=.012) had direct effects on behavioral intention. Additionally, social influence, effort expectancy, and facilitating conditions had indirect effects on behavioral intention that were mediated by performance expectancy. Social influence had the highest indirect effects among the three constructs (β=0.259; P=.001). Conclusions Performance expectancy and social influence are the most important determinants of the intention to use diabetes management apps. Health care technology companies should improve the usefulness of apps and carry out research to provide clinical evidence for the apps’ effectiveness, which will benefit the promotion of these apps. Facilitating conditions and perceived privacy risk also have an impact on behavioral intention. Therefore, it is necessary to improve facilitating conditions and provide solid privacy protection. Our study supports the use of UTAUT in explaining patients’ intention to use diabetes management apps. Context-related determinants should also be taken into consideration.


2020 ◽  
pp. 097215092090869
Author(s):  
Hory Sankar Mukerjee ◽  
G. K. Deshmukh ◽  
Dewashish Mukherjee ◽  
Nidhi Chawla

Present study identifies Indian seniors’ intention to use the internet and actual usage along with influence of age, gender, education and experience as moderators. This study proposes modifications in unified theory of acceptance and use of technology (UTAUT) model while adding education as moderators and also studied relationship between facilitating conditions (FC) and behavioural intention. The proposed research model was empirically tested by data collected from 371 Indian seniors above the age of 50 years through offline survey. The collected data were analysed using structural equation modelling (SEM) and multiple moderation analysis. The result revealed that performance expectancy (PE), effort expectancy (EE), subjective norm (SN), technology anxiety (TA) significantly influence elders’ behavioural intention (BI) to use and adopt internet except FC. Further BI resulted in actual system use which is also determined by FC. Actual system use is predicted by three variables: learning, place of access and health conditions. In this study only age and gender were emerged as moderators. Findings of the study have important implications particularly to understand determinants of Indian seniors’ intention to use the internet and actual usage along with influence of moderators.


Author(s):  
Eija Kivekäs ◽  
Santtu Mikkonen ◽  
Samuli Koponen ◽  
Kaija Saranto

The use of welfare technologies in the home setting has drawn increased attention in healthcare. From a historical perspective, medical technologies were designed for hospital settings. Digitalization and internet of things have changed the structure of our society. The aim of this paper is to describe the factors that determine a user’s intent to adopt new welfare technologies in the context of homecare. The phenomenon was being examined by the unified theory of acceptance and use of technology. This study was to show that performance expectancy, effort expectancy, and facilitating conditions are significant factors in determining a user’s intention to use new welfare technologies. While, the use of welfare technologies was rare in homecare.


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